Tuberculosis (TB) is the commonest cause of death by a single infectious agent globally and ranks amongst the top ten causes of global mortality. The incidence of TB is highest in Low-Middle Income countries (LMICs). Prompt institution of, and compliance with, therapy are cornerstones for a favourable outcome in TB and to mitigate the risk of multiple drug resistant (MDR)-TB, which is challenging to treat. There is some evidence that adverse drug reactions (ADRs) and hypersensitivity reactions (HSRs) to anti-TB drugs occur in over 60% and 3%-4% of patients respectively. Both ADRs and HSRs represent significant barriers to treatment adherence and are recognised risk factors for MDR-TB. HSRs to anti-TB drugs are usually cutaneous and benign, occur within few weeks after commencement of therapy and are likely to be T-cell mediated. Severe and systemic T-cell mediated HSRs and IgE mediated anaphylaxis to anti-TB drugs are relatively rare, but important to recognise and treat promptly. T-cellmediated HSRs are more frequent amongst patients with co-existing HIV infection.
<p>Background: In Indonesia, geriatric population in the year 2005 was 15.8 million (7.2 % population), and expected to reach 11.34% in the year 2020. There was growing evidence for poor sleep as an independent risk factor for poor physical and mental health. Geriatric population may be particularly vulnerable to effects of sleep disturbance due to significant age-related changes in both sleep and inflammatory regulation<br />Objective: To study the epidemiological (gender, age group) and health status (co-morbidities), sleep quality according to Pittsburgh Sleep Quality Index (PSQI) and its associations in geriatric population hospitalized in General Hospital in Karawaci, Tangerang, Banten Province, Indonesia.<br />Materials and Methods: A hospital based cross sectional study was conducted from January to June 2014. A total of 92 subjects aged 60 years and above were selected consecutively from hospitalized geriatric patients for this study. The data was analyzed by means and proportions.<br />Results: The male and female subjects were 51.1% and 48.9%. Mean age was 66.79 + 5.448 years. The age group of 60 – 75 years and above 75 years was 92.4% and 7.6% consecutively. Subjects with diabetes, hypertension, allergy, asthma, cardiac failure and chronic kidney disease were 30.4%, 62.0%, 18.5%, 21.7%, 21.7%, 20.7% consecutively and 63.0% with more than 2 co-morbidities. According to PSQI 72.8% subjects have poor sleep quality. Associations between poor sleep quality to epidemiological and health status were not significant except for diabetes (RR= 3.208 [95% CI: 1.045 – 9.848], p = 0.022) and chronic kidney disease (RR= 6.247 [95% CI: 0.902 – 43.279], p = 0.017)<br />Conclusions: Seventy two percents of subjects have poor sleep quality, and associations between poor sleep quality to epidemiological and health status were not significant except for diabetes.</p>
Figure 1 A schematic diagram illustrating a systematic multipronged approach to address penicillin allergy delabelling in lowincome, low-middle-income and upper middle-income countries.
Objective There was no study aimed at evaluating the effect of muscle function on SLE patients' quality of life using the Sarcopenia Quality of Life (SarQoL) questionnaire. Methods This cross-sectional study recruited 61 women with SLE consecutively, muscle function was measured with Jamar handheld-dynamometer and 6-meter walk test, HRQoL was measured with Sarcopenia Quality of Life (SarQoL) questionnaire. The cut-off point for low muscle strength (<18 kg) and low gait speed (<1.0 m/s) was according to the Asian Working Group on Sarcopenia 2019 criteria. Statistical analysis was conducted with a t-test for mean difference, and linear regression was used to adjust confounders (age, protein intake, physical exercise, and disease activity). Results The subjects' mean muscle strength was 19.54 kg (6.94), and 44.3% (n = 27) was found to have low muscle strength. The subjects' mean gait speed was 0.77 m/s (0.20), and 90.3% (n = 55) was found to have low gait speed. The difference of total SarQoL score in subjects with normal and low muscle strength was found to be significant; 74.86 (9.48) vs. 65.49 (15.51) (p = 0.009), and still statistically significant after adjustments with age, protein intake, physical exercise level, and disease activity [B 0.56; 95% CI 0.08–1.03; p = 0.022]. The difference of total SarQoL score in subjects with normal and low physical performance was found to be not significant, 70.67 (11.08) vs. 70.72 (13.56) (p = 0.993). Conclusion There was a significant difference in SarQoL's total score in normal compared with low muscle strength groups of Indonesian women with SLE.
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